Benchmarks Loop Closure
We provide easy tool that will help You annotating ground truth SLAM loop closures. You mark pair of point clouds that forms edge, then use ICP like pair wise registration to generatie ground truth for AI training. Annotated ground truth edges for LiDAR pose graph slam are available at ground truth edges. Movie how to use it is available at prepare training dataset movie.
AI loop closure benchmark https://github.com/MapsHD/benchmark-HDMapping-AILoopClosure-Orchestration
- [1] https://github.com/MapsHD/benchmark-HDMapping-AILoopClosure-LCR-Net (in progress)
- [2] https://www.open3d.org/docs/latest/python_api/open3d.registration.compute_fpfh_feature.html
- [3] https://github.com/HxCa1/BEV-LIO-LC/blob/main/README.md
- [4] https://huggingface.co/magic-leap-community/superglue_indoor + BEV
- [5] https://link.springer.com/article/10.1007/s41315-025-00516-5
- [6] https://ieeexplore.ieee.org/abstract/document/10251438
- [7] https://github.com/yutongwangBIT/SP-Loop
- [8] https://github.com/caodanyang/FUSIONLCD
- [9] https://www.mdpi.com/2504-446X/8/7/322
- [10] https://github.com/MIT-SPARK/KISS-Matcher
LiDAR loop closure benchmark https://github.com/MapsHD/benchmark-HDMapping-LiDAR-LoopClosure-Orchestration
- [1] DALI-SLAM
- [2] MM-LINS
- [3] PIN-SLAM
- [4] voxel-slam
- [5] nv-liom
- [6] glim
- [7] slict
- [8] lego-loam
- BTC: A Binary and Triangle Combined Descriptor for 3D Place Recognition Unlisted YT
- https://github.com/MapsHD/SemanticLoopClosure
- https://github.com/mit-spark/kiss-matcher
- https://github.com/zjuluolun/BEVPlace2
- https://github.com/csiro-robotics/LoGG3D-Net
- https://github.com/PRBonn/OverlapNet
- https://arxiv.org/pdf/2607.21138